UQ-bio Summer School

1.3 – Single-Cell Segmentation Tutorial (Dr. Zach Fox)

Lecture 1.3

Title: Tutorial — Single-Cell Segmentation in Python

Lecturer: Dr. Zachary Fox

Lecturer Website: https://zachfox.github.io/

Lecturer Email: zachrfox@gmail.com

Learning Objectives:

      • Learn what is meant by single-cell segmentation
      • Learn how to segment movies of cellular growth to examine single-cell trajectories.

Dr. Zachary Fox received his doctorate in Biomedical Engineering from Colorado State University in 2019 where he developed new methods to integrate single-cell microscopy data and stochastic models of gene expression. These tools include new approaches to infer model parameters from data and use stochastic models to design more informative experiments. Zach then attended the Institut Pasteur in Paris, France, where he did his postdoc in microscopy automation and optogenetic control of gene expression in synthetically engineered yeast using stochastic models. He worked with Gregory Batt and Jakob Ruess. He is now working on a secondary postdoc at the Center for Nonlinear Studies and Computer, Computational, and Statistical Science at Los Alamos National Lab, with Dr. Yen Ting Lin and Dr. Anatoly Zlotnik.  

Title: Single-Cell Segmentation in Python

Abstract: abc abc abc

Suggested Reading or Key Publications:

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Links to Relevant Software: 

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